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astro-ph.IM2025
Real-Time Active Learning for optimised spectroscopic follow-up: Enhancing early SN Ia classification with the Fink broker
A. Möller, E. E. O. Ishida, J. Peloton +6
Current and future surveys rely on machine learning classification to obtain large and complete samples of transients. Many of these algorithms are restricted by training samples t…
astro-ph.IM2024
Real-bogus scores for active anomaly detection
T. A. Semenikhin, M. V. Kornilov, M. V. Pruzhinskaya +8
In the task of anomaly detection in modern time-domain photometric surveys, the primary goal is to identify astrophysically interesting, rare, and unusual objects among a large vol…